Evidence map›Paper›PMID 34570811›Full record

ArticlePloS one2021

Computerized history-taking improves data quality for clinical decision-making-Comparison of EHR and computer-acquired history data in patients with chest pain.

David Zakim, Helge Brandberg, Sami El Amrani, Andreas Hultgren, Natalia Stathakarou, Sokratis Nifakos, Thomas Kahan, Jonas Spaak, Sabine Koch, Carl Johan Sundberg

Registry-linked trialOpen access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03439449 (Computerized, Patient-entered Medical Histories for Managing Chest Pain in the Emergency Department), which is not on this map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03439449 active not recruitingnot on this map

Computerized, Patient-entered Medical Histories for Managing Chest Pain in the Emergency Department

Typeobservational_patient_registrySponsorKarolinska InstitutetRan2017 to 2025Enrolled2,000ConditionsChest Pain, Acute Coronary SyndromeArmsCLEOS software program, Physician taken history
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Digital Health Data Quality Issues: Systematic Review.Journal of medical Internet research · 2023
    Pooled it
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  4. Review
  5. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

David ZakimDepartment of Learning, Informatics, Management and Ethics, Medical Management Centre, and Health Informatics Centre, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-7722-8148
Helge BrandbergDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Solna, Stockholm County, Sweden.ORCID 0000-0003-1507-4099
Sami El AmraniDepartment of Learning, Informatics, Management and Ethics, Medical Management Centre, and Health Informatics Centre, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-1520-2636
Andreas HultgrenDepartment of Learning, Informatics, Management and Ethics, Medical Management Centre, and Health Informatics Centre, Karolinska Institutet, Stockholm, Sweden.
Natalia StathakarouDepartment of Learning, Informatics, Management and Ethics, Medical Management Centre, and Health Informatics Centre, Karolinska Institutet, Stockholm, Sweden.
Sokratis NifakosDepartment of Learning, Informatics, Management and Ethics, Medical Management Centre, and Health Informatics Centre, Karolinska Institutet, Stockholm, Sweden.
Thomas KahanDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Solna, Stockholm County, Sweden.ORCID 0000-0001-9909-4956
Jonas SpaakDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Solna, Stockholm County, Sweden.ORCID 0000-0002-2135-1294
Sabine KochDepartment of Learning, Informatics, Management and Ethics, Medical Management Centre, and Health Informatics Centre, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-7144-8740
Carl Johan SundbergDepartment of Learning, Informatics, Management and Ethics, Medical Management Centre, and Health Informatics Centre, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients' medical histories are the salient dataset for diagnosis. Prior work shows consistently, however, that medical history-taking by physicians generally is incomplete and not accurate. Such findings suggest that methods to improve the completeness and accuracy of medical history data could have clinical value. We address this issue with expert system software to enable automated history-taking by computers interacting directly with patients, i.e. computerized history-taking (CHT). Here we compare the completeness and accuracy of medical history data collected and recorded by physicians in electronic health records (EHR) with data collected by CHT for patients presenting to an emergency room with acute chest pain. Physician history-taking and CHT occurred at the same ED visit for all patients. CHT almost always preceded examination by a physician. Data fields analyzed were relevant to the differential diagnosis of chest pain and comprised information obtainable only by interviewing patients. Measures of data quality were completeness and consistency of negative and positive findings in EHR as compared with CHT datasets. Data significant for the differential of chest pain was missing randomly in all EHRs across all data items analyzed so that the dimensionality of EHR data was limited. CHT files were near complete for all data elements reviewed. Separate from the incompleteness of EHR data, there were frequent factual inconsistencies between EHR and CHT data across all data elements. EHR data did not contain representations of symptoms that were consistent with those reported by patients during CHT. Trial registration: This study is registered at https://www.clinicaltrials.gov (unique identifier: NCT03439449).

Indexed as

Clinical Decision-MakingAdolescentAdultAgedChest PainDatasets as TopicDecision Making, Computer-AssistedElectronic Health RecordsEmergency Medical ServicesExpert SystemsFemaleHumansMaleMedical History TakingMiddle AgedNitroglycerinNitroglycerinVasodilator Agents

Identifiers

PMID34570811
PMCPMC8476015
OpenAlexW3203459904

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.